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Record W2276372248 · doi:10.1159/000444093

Survival after Radical Cystectomy for Bladder Cancer in Relation to Prior Non-Muscle Invasive Disease in Quebec

2016· article· en· W2276372248 on OpenAlexaffabout
Ahmed S. Zakaria, Fabiano Santos, Wassim Kassouf, Simon Tanguay, Armen Aprikian

Bibliographic record

VenueUrologia Internationalis · 2016
Typearticle
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineCystectomyBladder cancerHazard ratioUrologyInternal medicineProportional hazards modelRetrospective cohort studyCancerGastroenterologySurgeryConfidence interval

Abstract

fetched live from OpenAlex

INTRODUCTION AND OBJECTIVES: The aim of this study was to assess if there is a difference in survival after radical cystectomy (RC) when examined in relation to prior non-muscle invasive bladder cancer (NMIBC) disease vs. invasive cancer de novo at time of diagnosis. METHODS: We conducted a retrospective study of all patients who underwent RC within Quebec health insurance medical services database during the years (2000-2009). Overall survival (OS) outcome was assessed with Kaplan-Meier curves and hazard ratios (HRs) adjusted for age and gender. RESULTS: A total of 2,671 subjects met the eligibility criteria. Among them, 19.8% had presumed prior NMIBC that further progressed to invasive disease. Median survival after RC for patients with presumed prior NMIBC was 4.3 years as compared to patients with presumed invasive disease de novo 3.7 years (p = 0.007, Wilcoxon test). Patients with presumed NMIBC at the time of diagnosis had a 16% decrease in the risk of mortality after RC, when compared to patients with presumed invasive BC de novo (HR 0.84, 95% CI 0.73-0.96 (p = 0.0166)). CONCLUSION: Our results suggest a slightly better prognosis, regarding OS after RC for patients with presumed NMIBC who progressed to invasive disease, when compared to patients with presumed invasive disease de novo at the time of diagnosis.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.296
Teacher spread0.281 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2016
Admission routes2
Has abstractyes

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